{"id":"W4393282851","doi":"10.1200/po.23.00654","title":"Toward Informed Selection and Interpretation of Clinical Genomic Tests in Prostate Cancer","year":2024,"lang":"en","type":"article","venue":"JCO Precision Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Prostate Cancer Foundation","keywords":"Context (archaeology); Personalized medicine; Precision medicine; Overdiagnosis; Cancer; Germline; Genetic testing; Prostate cancer; Medicine; Genotyping; Bioinformatics; Computational biology; Biology; Genetics; Gene; Internal medicine; Genotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005340772,0.00007770824,0.0003241087,0.0002556016,0.0000138685,0.00001135266,0.00003440897,0.000128023,0.0001176315],"category_scores_gemma":[0.0002783682,0.00005497268,0.00004929569,0.0002426396,0.00007852445,0.00009880187,0.00004967389,0.0002683562,0.00001491533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544071,"about_ca_system_score_gemma":0.001074374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001342332,"about_ca_topic_score_gemma":0.0004079409,"domain_scores_codex":[0.99892,0.00008572782,0.0004883247,0.0002247542,0.0001295838,0.0001516711],"domain_scores_gemma":[0.9991453,0.0005570267,0.00006457062,0.00006803209,0.00008928386,0.00007572823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00291177,0.0001146943,0.1185013,0.0002326362,0.00005747944,0.00005192412,0.001910663,0.00002184986,0.002691776,0.00003052639,0.0007799953,0.8726954],"study_design_scores_gemma":[0.006514905,0.005399579,0.899281,0.001118113,0.0001077923,0.0001229512,0.0003136471,0.03956303,0.003075789,0.001068859,0.04328524,0.0001491338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925091,0.003141523,0.00004836133,0.001545143,0.0004246383,0.0006194502,0.000007557611,0.000028463,0.00167578],"genre_scores_gemma":[0.9915916,0.006723236,0.000512696,0.00008249423,0.00008399985,0.00009969644,0.00001507074,0.00001052155,0.0008806538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8725463,"threshold_uncertainty_score":0.2241721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0799215156848305,"score_gpt":0.490778839535315,"score_spread":0.4108573238504846,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}